In this talk, we will introduce a novel method for quantitative MRI which asks for precise estimation of the parameters e.g. T1, T2 and so on. The proposed approach respects the physical law characterized by Bloch equations as the recently developed method magnetic resonance fingerprinting (MRF). However, in comparison with MRF, the new method does not rely on the discretization size in the dictionary, and shows much higher accuracy for the estimated parameters.

This presentation is part of Minisymposium “MS5 - Learning and adaptive approaches in image processing (2 parts)”
organized by: Kostas Papafitsoros (Weierstrass Institute Berlin) , Michael Hintermüller (Humboldt University and Weierstrass Institute Berlin) .

Authors:

Guozhi Dong (Humboldt University Berlin)

Michael Hintermüller (Humboldt University and Weierstrass Institute Berlin)

Kostas Papafitsoros (Weierstrass Institute Berlin)

Keywords:

bloch equations, computed tomography, image reconstruction, inverse problems, magnetic resonance imaging, nonlinear optimization, parameter identification